Sarawak FA vs UiTM FC: result 0-2 and analysis
Premier LeagueRegular Season - 10Kick-off on April 21, 2019 at 08:15 AM (UTC)Stadium Negeri, Kuching
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What was the result of Sarawak FA vs UiTM FC?
UiTM FC won 0-2 on April 21, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sarawak FA have 4 wins, 3 draws and 8 defeats; UiTM FC have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Terengganu City II(away) | 2-1 | Premier League |
| Apr 6, 2019 | Kelantan FA(home) | 1-1 | Premier League |
| Mar 30, 2019 | Johor Darul Tazim II(away) | 1-1 | Premier League |
| Mar 2, 2019 | UKM FC(away) | 0-4 | Premier League |
| Feb 23, 2019 | Sabah FA(home) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Sabah FA(away) | 1-1 | Premier League |
| Apr 7, 2019 | Terengganu City II(home) | 0-1 | Premier League |
| Mar 30, 2019 | Selangor United(away) | 2-1 | Premier League |
| Mar 8, 2019 | Kelantan FA(home) | 3-3 | Premier League |
| Mar 1, 2019 | Penang(away) | 2-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Sarawak FA win(s), 0 draw(s), 2 UiTM FC win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 3, 2018 | Sarawak FA 0-2 UiTM FC | Premier League |
| Apr 23, 2018 | UiTM FC 3-2 Sarawak FA | Premier League |
How many goals should we expect?
Sarawak FA score 1.4 and concede 1.9 goals per match over their last 15; UiTM FC score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sarawak FA | 1.4 | 1.9 | 1 | 10/15 | 9/15 |
| UiTM FC | 1.5 | 1.4 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | UiTM FC | 18 | 6 | 2 | 10 | 18 | 25 | 20 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy